{"id":"W2131467577","doi":"10.1287/mksc.1050.0129","title":"Coupons Versus Rebates","year":2007,"lang":"en","type":"article","venue":"Marketing Science","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":134,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Reservation; Product (mathematics); Business; Key (lock); Attractiveness; Advertising; Payment; Control (management); Significant difference; Microeconomics; Computer science; Marketing; Economics; Computer security; Finance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002175289,0.0005124141,0.000727227,0.0006249031,0.0005872843,0.002516395,0.0008855754,0.00156413,0.01490118],"category_scores_gemma":[0.008417912,0.0004398109,0.0005462148,0.0005060085,0.001544119,0.002564618,0.000830994,0.001645898,0.001604845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001298564,"about_ca_system_score_gemma":0.0006871812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001602967,"about_ca_topic_score_gemma":0.001917276,"domain_scores_codex":[0.9977596,0.0009366545,0.00009338552,0.0003090103,0.0004776027,0.0004238522],"domain_scores_gemma":[0.9945289,0.003277888,0.000700416,0.0005392778,0.0005519596,0.0004014814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.01094825,0.001529164,0.02670261,0.001265856,0.0003459374,0.0003617895,0.001288629,0.05076093,0.01695423,0.651695,0.008837956,0.2293098],"study_design_scores_gemma":[0.001358833,0.01481048,0.1864754,0.001406233,0.0009881493,0.002486693,0.006312446,0.128657,0.04120259,0.4263007,0.1891463,0.0008552193],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.777654,0.005210415,0.03802853,0.002355849,0.0004849562,0.0003323302,0.0004053469,0.000193903,0.1753347],"genre_scores_gemma":[0.9837732,0.0006486165,0.004043695,0.0001808811,0.00007632956,0.00004047134,0.00006861021,0.00003420408,0.01113388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01490118,"threshold_uncertainty_score":0.04984945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02443028066838856,"score_gpt":0.2711090965371489,"score_spread":0.2466788158687604,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}